Head of Data Engineering

TPG Telecom; Sydney; Hybrid; AUD 220,000 - 350,000; Full time

Benefits offered by this job

Flexible hybrid working

Stay Connected Mobile plan

Stay Connected NBN plan (high speed)

Your Leave – additional leave yearly

TPG Learning Hub access

Corporate partner discounts

Job summary

TPG Telecom is seeking a Head of Data Engineering to lead the consolidated data engineering and ML engineering capability across IT and the data analytics CoE. You will drive design, build, operation and continuous improvement of enterprise data platforms, pipelines and data products to support operations, analytics, reporting and AI delivery.

You will partner across Architecture, Data Governance, AI Delivery and business stakeholders to establish standards, ensure reliability and enable

Qualifications

• Leadership experience directing enterprise data engineering and ML teams.
• Experience consolidating teams, practices or platforms and implementing operating models.
• Strong cloud data platform design, data ingestion, transformation and governance.

Responsibilities

• Lead design, build and operation of enterprise-scale data pipelines and products.
• Define data engineering strategy, roadmap and operating model for the org.
• Establish standards for data ingestion, transformation, lineage, observability and security.
• Manage budgets, suppliers and delivery partners within agreed constraints.
• Drive continuous improvement using performance, incidents and stakeholder insights.

Skills

Leadership

Data engineering

ML engineering

Cloud platforms

MLOps

Stakeholder mgmt

Budget & delivery

Education

Bachelor's or higher in CS/Engineering

Tools

AWS

Azure

GCP

Airflow

Databricks

Job description

JOB DESCRIPTION

The Head of Data Engineering leads the consolidated Data Engineering capability across IT and the former Data and Analytics Centre of Excellence. The role is accountable for the design, build, operation and continuous improvement of enterprise data engineering and machine learning engineering capabilities.

Your Opportunity

JOB DESCRIPTION

The Head of Data Engineering leads the consolidated Data Engineering capability across IT and the former Data and Analytics Centre of Excellence. The role is accountable for the design, build, operation and continuous improvement of enterprise data engineering and machine learning engineering capabilities.

The role brings foundational and derived data engineering into one integrated function, creating trusted, reusable and ready-to-consume data products that support operational workloads, reporting, analytics, data science and AI delivery. Working closely with Architecture, Data Analytics & Reporting, AI Delivery, Data Governance & AI Mobilisation and business stakeholders, the role establishes consistent engineering standards, strengthens platform reliability and accelerates the safe and scalable use of data across TPG Telecom.

You’ll Make Impact By

Leadership & Capability

• Lead and develop the consolidated Data Engineering function, bringing together IT BAU engineering and former CoE data and ML engineering capability under clear accountabilities and ways of working.
• Build a collaborative, high-performing team capable of delivering and operating enterprise-scale data products, pipelines and engineering services.
• Establish effective interfaces with Data Analytics & Reporting, AI Delivery, Architecture, Data Governance & AI Mobilisation and Technology Operations.
• Develop workforce, sourcing, succession and capability plans aligned to the future data platform roadmap and delivery portfolio.

Data Engineering Strategy & Operating Model

• Develop and maintain the enterprise Data Engineering strategy, roadmap and operating model in alignment with the Data Platforms & AI Delivery strategy.
• Consolidate data engineering standards, practices, tooling and governance across previously separate IT and CoE teams.
• Define how foundational, curated and derived data products are created, owned, operated and consumed across the organisation.
• Prioritise engineering capacity across BAU, regulatory, transformation, analytics and AI demand using transparent portfolio and capacity management practices.

Data Platforms, Pipelines & Products

• Lead the design, build and operation of reliable, secure and scalable cloud-based data pipelines, ELT/ETL solutions and data products.
• Ensure foundational data products are transformed into trusted, reusable and ready-to-consume datasets that support a consistent source of truth.
• Establish engineering standards for data ingestion, transformation, modelling, orchestration, metadata, lineage, observability and release management.
• Ensure data products meet agreed quality, availability, performance, security, resilience and support requirements.
• Manage the lifecycle of data engineering assets, including technical debt, optimisation, remediation and decommissioning.

ML Engineering & AI Enablement

• Lead ML engineering capability required to industrialise, deploy, monitor and optimise approved machine learning and AI solutions.
• Partner with Data Analytics & Reporting and AI Delivery teams to move validated prototypes and use cases into scalable production services.
• Establish repeatable MLOps and engineering practices covering deployment, monitoring, model performance, versioning and operational support.
• Ensure AI and ML engineering solutions comply with architecture, security, privacy, data governance and responsible AI requirements.

Delivery, Operations & Performance

• Own a portfolio of ongoing and project-based data engineering work, with clear outcomes, milestones, dependencies, risks and resource requirements.
• Ensure engineering services transition into sustainable operational ownership with clear support models, service expectations and controls.
• Establish meaningful measures for delivery performance, platform reliability, data quality, engineering productivity and customer outcomes.
• Use performance, incident and stakeholder insights to drive continuous improvement and prioritise remediation.
• Manage budgets, suppliers, delivery partners and commercial commitments within agreed constraints.

Data Governance, Risk & Stakeholder Management

• Partner with Data Governance & AI Mobilisation to embed data ownership, quality, metadata, lineage, access and retention requirements into engineering practices.
• Build trusted relationships with business and Technology stakeholders and translate data needs into practical engineering priorities and solutions.
• Ensure material delivery, operational, security, privacy, data quality and technology risks are identified, controlled and appropriately escalated.
• Provide clear reporting and advice to senior leaders on engineering performance, investment needs, risks and decisions required.

What You’ll Bring

• Tertiary qualifications in Computer Science, Data Engineering, Software Engineering, Information Technology, Mathematics or a related quantitative discipline, or equivalent relevant experience.
• Relevant cloud, data engineering, data architecture, data management or machine learning engineering certifications would be highly regarded.
• Significant experience leading enterprise data engineering, platform engineering or ML engineering functions in a large and complex organisation.
• Demonstrated experience consolidating teams, practices or platforms and establishing an effective enterprise data engineering operating model.
• Extensive experience developing, deploying and operating cloud-based data platforms, pipelines and ELT/ETL solutions.
• Experience creating reusable foundational and derived data products across structured and unstructured data environments.
• Experience establishing data modelling, data quality, metadata, lineage, observability, DevOps and MLOps practices.
• Demonstrated experience managing a portfolio of BAU and project delivery, including budgets, capacity, dependencies, risks and suppliers.
• Proven people leadership experience, including building and sustaining high-performing technical teams through organisational change.
• Experience influencing senior business and technical stakeholders and delivering outcomes across organisational boundaries.
• Strong knowledge of modern cloud data platforms, data integration, distributed processing, data modelling and data product principles.
• Strong understanding of software and data engineering practices, including CI/CD, automated testing, infrastructure as code, observability and operational support.
• Working knowledge of machine learning engineering and MLOps practices required to deploy and operate models and AI services at scale.
• Strong understanding of data governance, privacy, security, quality, metadata and responsible AI requirements.
• Strong commercial, portfolio and delivery management capability.
• Highly developed leadership, communication, stakeholder engagement and influencing skills.
• Ability to translate complex technical information into clear recommendations, priorities and decisions.

What's in it for you?

• Flexible hybrid way of working (from home and office)
• 'Stay Connected Mobile' – Access to a free mobile plan
• 'Stay Connected NBN' – Access to a free, high-speed NBN plan (up to 500 Mbps)
• 'Your Leave' - additional leave to be used whenever you like - every year
• Access to TPG Learning Hub platform and internal development opportunities
• Access to Corporate Partner Discounts

Don't meet every single requirement? That's OK! At TPG Telecom, we're all about creating an accessible workplace where everybody feels safe to bring their authentic self to work - regardless of background. If you think this role is a great fit for you but some of the qualifications don't align with your experience, we still encourage you to apply - you might just be the perfect candidate for a similar role with us! Learn more about life at TPG Telecom here.

TPG Telecom also acknowledges the Gadigal People of the Eora Nation as the Traditional Custodians of lands and waterways where this office can be found in Barangaroo.

Our Talent Acquisition Team and Hiring Managers kindly request no unsolicited resumes or approaches from Recruitment Agencies. TPG Telecom is not responsible for any fees related to unsolicited resumes.

About Us

TPG Telecom started with a belief that we can make things better for Australians. We believe in the power of meaningful relationships to support vibrant, connected communities where everyone belongs. It's our why; our reason to exist. Now, we're proud to be one of Australia’s leading mobile and internet providers. We're not just redefining telco, we're changing its course. And you play a role in that. A big one. The opportunities are plenty for those who are ready to accept the challenge.

About The Team

Our Technology team builds and evolves the networks and platforms that keep millions of Australians connected every day. From mobile and fixed networks to digital platforms and data, you'll work at the forefront of innovation solving complex challenges and helping shape the future of connectivity.